Decision-making behavior generation method and system based on decision tree

A decision tree and decision-making technology, applied in data processing applications, finance, instruments, etc., can solve the problems of decision tree time-consuming and low construction efficiency, and achieve the effect of timely execution

Active Publication Date: 2021-12-07
SICHUAN XW BANK CO LTD
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  • Description
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AI Technical Summary

Problems solved by technology

[0008] The invention provides a decision tree-based decision-making behavior generation method and system to solve the current technical problems of relying on modelers to manually build decision trees, which takes a long time and has low construction efficiency

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  • Decision-making behavior generation method and system based on decision tree
  • Decision-making behavior generation method and system based on decision tree
  • Decision-making behavior generation method and system based on decision tree

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Embodiment Construction

[0046] Such as figure 1 Shown the present invention is based on the decision-making behavior generation system of decision tree, comprises:

[0047] Indicator acquisition module: acquire indicators for decision tree application;

[0048] Decision tree generation module: according to the obtained indicators, the node visualization graph configuration is performed, and the decision path is generated;

[0049] Decision tree extraction module: extract all nodes on all decision paths, including the bifurcation characteristics of nodes and the affiliation relationship between different nodes;

[0050] Decision tree verification module: verify the correctness of the expression, the correctness of the decision path, and the pre-run batch data verification of the decision tree for the obtained indicators;

[0051] Decision tree trigger module: trigger the task of decision tree execution, divided into time trigger and behavior trigger;

[0052] Decision-making behavior output module:...

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Abstract

The present invention relates to a method and system for generating decision-making behavior based on a decision tree, wherein the method includes: S1. Perform feature extraction from customer information to obtain available indicators for decision tree application; S2. Form a parent / child relationship among all single nodes according to the type, node code and input / output parameters of each single node in the decision tree; S3. Conditional configuration is performed on each node to obtain a decision-making path, and a decision tree is obtained after verification; S4. Obtain the decision tree pre-run batch results for the decision tree pre-run batch, and obtain the available decision tree after verifying the pre-run batch results; S5. Configure the starting point of running batches of available decision trees to obtain decision tree running batch tasks and decision tree versions; S6. Run batch tasks through the decision tree applied by the system to obtain immediately executable decision-making behaviors. The present invention can efficiently construct a decision tree, and can realize dynamic real-time positioning of customers, output decision-making actions in time, and effectively realize timely execution of customer decision-making behaviors.

Description

technical field [0001] The invention relates to a method and system for data processing and data mining, in particular to a method and system for generating decision-making behavior based on a decision tree. Background technique [0002] Decision tree is a machine learning method based on tree structure. Since everyone's behavior has certain behavioral basis, the decision tree can be used to analyze human behavior, and then obtain the corresponding decision-making behavior basis. This method is more and more widely used in the current Internet field. [0003] Decision tree has good interpretability, can effectively help decision makers to carry out decision analysis, and is widely used in bank credit modeling. Modelers can manually configure the tree structure and affiliation relationship to obtain a decision tree. [0004] Commonly used decision tree construction tools such as SAS are stand-alone interactive modeling tools. The main feature is that data modeling can be re...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06Q40/02
CPCG06Q40/03G06F18/24323
Inventor 姜文玲卫浩彭恒
Owner SICHUAN XW BANK CO LTD
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